Patient-Centered Approaches to Transitional Care Research and Implementation: Overview and Insights From Patient-Centered Outcomes Research Institute's Transitional Care Portfolio.

BACKGROUND: This Special Issue, Future Directions in Transitional Care Research, focuses on the approaches used and lessons learned by researchers conducting care transitions studies funded by the Patient-Centered Outcomes Research Institute (PCORI). PCORI's approach to transitional care research augments prior research by encouraging researchers to focus on head-to-head comparisons of interventions, the use of patient-centered outcomes, and the engagement of stakeholders throughout the research process. OBJECTIVES: This paper introduces the themes and topics addressed by the articles that follow, which are focused on opportunities and challenges involved in conducting patient-centered clinical comparative effectiveness research in transitional care. It provides an overview of the state of the care transitions field, a description of PCORI's programmatic objectives, highlights of the patient and stakeholder engagement activities that have taken place during the course of these studies, and a brief overview of PCORI's Transitional Care Evidence to Action Network, a learning community designed to foster collaboration between investigators and their research teams and enhance the collective impact of this body of work. CONCLUSIONS: The papers in this Special Issue articulate challenges, lessons learned, and new directions for measurement, stakeholder engagement, implementation, and methodological and design approaches that reflect the complexity of transitional care comparative effectiveness research and seek to move the field toward a more holistic understanding of transitional care that integrates social needs and lifespan development into our approaches to improving care transitions.

Methods to identify and prioritize research projects and perform embedded research in learning healthcare systems.

BACKGROUND: The Embedded Healthcare Research Conference aimed to promote and enhance research-operations partnerships in diverse health care settings. Within this conference, the Priorities and Methods Workgroup set out to define a vision of embedded research that leverages diverse methods to address clearly articulated research questions of importance to health systems. METHODS: The Workgroup session involved a combination of small and large group discussions around three broadly focused topics: the integration of embedded research within the existing quality improvement (QI) ecosystem; the identification, prioritization and formulation of embedded research questions; the creation of an embedded research "tool kit." RESULTS: Workgroup participants envisioned a future for embedded research that is characterized by authentic engagement between researchers and health system leaders; seamless integration between research, QI and clinical operations; clear and explicit articulation of research questions; an appropriate balance between rigor and relevance in applied methodology; alignment between study design, available resources and the importance of the knowledge to be gained; efficient processes; and bi-directional communication. Important barriers to achieving this vision include limited access to executive leaders, silos that discourage integration of research and QI, generally low tolerance for disruption in high-risk clinical settings, limited access to data, and limited availability of researchers with requisite skills and training. CONCLUSIONS: Embedded research holds potential to enhance the relevance, value and use of research, while also creating generalizable knowledge. Key recommendations include building authentic relationships, discouraging silos, encouraging innovation and experimentation, and expanding opportunities for funding research in delivery systems.

Comorbidity Profiles and Their Effect on Treatment Selection and Survival among Patients with Lung Cancer.

RATIONALE: Prior work has shown that the comorbidity burden is high among patients with lung cancer, but patterns of comorbid conditions have not been systematically identified. OBJECTIVES: We aimed to identify distinct comorbidity profiles in a large sample of patients with lung cancer and to examine the effect of comorbidity profiles on treatment and survival. METHODS: In this retrospective cohort study, we used latent class analysis to identify comorbidity profiles (or classes) in a population-based sample of 6,662 patients with bronchogenic carcinoma diagnosed between 2008 and 2013. We included specific comorbid conditions from the Charlson comorbidity index. We used Cox proportional hazards analysis to examine the effect of comorbidity class on survival. RESULTS: The mean age of the patients was 70 years, and 50% were female, 34% were nonwhite, and 17% were never-smokers. Most patients had stage III (21%) or IV (53%) disease. Over half (51%) had at least one comorbid condition, whereas 18% had at least four comorbidities. Latent class analysis identified five distinct comorbidity classes. Classes were defined by progressively greater Charlson comorbidity index scores and were further distinguished by the presence or absence of specific types of vascular disease and diabetes. Comorbidity class was independently associated with treatment selection (P < 0.001) and survival (P < 0.0001), especially among patients with stages 0-II disease (P < 0.0001). CONCLUSIONS: Patients with lung cancer can be described by distinct comorbidity profiles that are independent predictors of treatment and survival. These profiles provide a more nuanced understanding of how comorbidities cluster within patients with lung cancer and how they can be applied for descriptive purposes or in research.

Acceptability of Virtual Prenatal Visits for Women with Gestational Diabetes.

INTRODUCTION: Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. Current approaches to GDM management and education are labor intensive and costly. Telemedicine offers a potential solution to reduce the time and cost burden of prenatal care for women with GDM. METHODS: We assessed the acceptability of a telemedicine intervention to transmit patients' weight, blood pressure, and blood glucose measurements from wireless devices to health care providers, and to alternate "virtual office visits" with office-based prenatal visits. We administered surveys to 70 Kaiser Permanente Southern California members with GDM to assess preferences for modalities of GDM care delivery and to understand perceptions of telemedicine. We subsequently conducted 10 qualitative interviews among women with GDM to elicit perceptions about confidence and comfort with receiving care telephonically and safety concerns. Data were coded and categorized using analytic induction. RESULTS: Training on these devices would increase participants' confidence in using the equipment. Continuity of care was perceived as an important factor in facilitating confidence with near universal preference for having virtual visits with the same clinician. Most participants were not concerned with the safety of their baby or themselves during the weeks without an office visit. One participant expressed an unwillingness to participate in the intervention because of a perceived association between having a high-risk pregnancy and an increased risk of pregnancy loss. CONCLUSIONS: As telemedicine becomes increasingly common in health care, feedback from end users will be essential in tailoring, communicating about, and supporting the uptake and success of such programs.

Learning the landscape: implementation challenges of primary care innovators around cancer survivorship care.

PURPOSE: This study describes the experiences of early implementers of primary care-focused cancer survivorship delivery models. METHODS: Snowball sampling was used to identify innovators. Twelve participants (five cancer survivorship primary care innovators and seven content experts) attended a working conference focused on cancer survivorship population strategies and primary care transformation. Data included meeting discussion transcripts/field notes, transcribed in-depth innovator interviews, and innovators' summaries of care models. We used a multistep immersion/crystallization analytic approach, guided by a primary care organizational change model. RESULTS: Innovative practice models included: (1) a consultative model in a primary care setting; (2) a primary care physician (PCP)-led, blended consultative/panel-based model in an oncology setting; (3) an oncology nurse navigator in a primary care practice; and (4) two subspecialty models where PCPs in a general medical practice dedicated part of their patient panel to cancer survivors. Implementation challenges included (1) lack of key stakeholder buy-in; (2) practice resources allocated to competing (non-survivorship) change efforts; and (3) competition with higher priority initiatives incentivized by payers. CONCLUSIONS: Cancer survivorship delivery models are potentially feasible in primary care; however, significant barriers to widespread implementation exist. Implementation efforts would benefit from increasing the awareness and potential value-add of primary care-focused strategies to address survivors' needs. IMPLICATIONS FOR CANCER SURVIVORS: Current models of primary care-based cancer survivorship care may not be sustainable. Innovative strategies to provide quality care to this growing population of survivors need to be developed and integrated into primary care settings.

Understanding distress in posttreatment adult leukemia and lymphoma survivors: a lifespan perspective.

Using in-depth interviews, this paper explores the nature and sources of cancer-specific distress among 51 posttreatment adult leukemia and lymphoma survivors (LLS), focusing on the role of lifespan stage in shaping reported stressors. LLS (all ages) reported physical aftereffects of cancer treatment, with reported sources of emotional and financial distress varying by lifespan stage. Young adult survivors (18-39) reported a greater number of distress sources. Distress may persist up to 4 years posttreatment, particularly among younger LLS, who appear to be at greater risk of distress in multiple domains.

Prevalence and predictors of distress in posttreatment adult leukemia and lymphoma survivors.

This paper examines predictors of cancer-specific distress among posttreatment adult leukemia and lymphoma survivors (LLS). Using a survey mailed to LLS in the Colorado Central Cancer Registry (N = 477), the authors developed a multivariable risk profile for distress. Thirty one percent of LLS reported indicators of distress. Significantly higher distress was associated with younger age (p < 0.001) in bivariate analyses. The risk profile included fear of recurrence, financial burden, and younger age. Distress did not attenuate based on time since treatment completion and may persist up to 4 years posttreatment, suggesting a need for intervention, particularly among high-risk LLS.